Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "221"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 221 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 29 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 29 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 221, Node N18:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460012 RF_ok 100.00% 0.00% 0.00% 0.00% - - -0.423646 -0.446883 -1.410294 -0.875040 0.420031 -1.176018 10.860658 -0.933175 0.5631 0.5848 0.3452 nan nan
2460011 RF_ok 100.00% 0.00% 0.00% 0.00% - - -0.229427 -0.447682 -0.684260 -1.043160 12.343925 -0.902694 6.739104 -0.668883 0.5910 0.6063 0.3403 nan nan
2460010 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.321638 -0.173798 -0.852160 -0.694948 0.519929 -1.791116 6.660066 -0.662869 0.5989 0.6234 0.3453 nan nan
2460009 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.452250 -0.776635 -0.831832 -1.043060 3.476172 -1.177241 16.102202 -0.608951 0.6035 0.6255 0.3486 nan nan
2460008 RF_ok 0.00% 0.00% 0.00% 0.00% - - -0.090061 -0.256969 0.000622 -1.124679 1.891503 -0.819953 0.619104 -1.501129 0.6437 0.6604 0.3152 nan nan
2460007 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.458650 -0.338061 -1.366030 -1.018919 0.943582 -1.068974 9.919862 -0.450742 0.5998 0.6293 0.3360 nan nan
2459999 RF_ok 0.00% 0.00% 0.00% 0.00% - - nan nan nan nan nan nan nan nan 0.5525 0.5970 0.3345 nan nan
2459998 RF_ok 0.00% 0.00% 0.00% 0.00% - - 0.924281 -0.508856 -0.904010 -0.680822 0.465849 -1.046983 3.056783 -0.462108 0.5800 0.6110 0.3756 nan nan
2459997 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.885149 -0.551991 -0.683300 -0.673349 -0.396830 -1.335370 4.840723 -0.987933 0.5910 0.6217 0.3800 nan nan
2459996 RF_ok 0.00% 0.00% 0.00% 0.00% - - 0.550504 -0.598990 0.014650 -0.897333 2.795338 -1.339112 0.736615 -0.765957 0.6117 0.6303 0.3881 nan nan
2459995 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.420411 -0.662048 -0.590085 -0.909270 8.423932 -0.973242 5.440085 -0.808088 0.5965 0.6252 0.3783 nan nan
2459994 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.439419 -0.554449 -1.177042 -0.869833 1.352204 -0.791803 8.822561 -0.609752 0.5861 0.6188 0.3745 nan nan
2459993 RF_ok 100.00% 0.00% 0.00% 0.00% - - 2.781019 -0.532240 -0.804169 -0.649476 2.782063 -0.566860 6.192744 -0.810453 0.5621 0.6096 0.3923 nan nan
2459991 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.263604 -0.365384 -0.904091 -0.638841 4.746304 -0.786064 6.579606 -0.715323 0.5893 0.6129 0.3806 nan nan
2459990 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.289065 -0.157002 -1.217904 -0.506576 -0.007046 -0.776762 15.489465 -0.556724 0.5833 0.6143 0.3803 nan nan
2459989 RF_ok 100.00% 0.00% 0.00% 0.00% - - 3.363278 -0.188756 -0.928177 -0.499345 -0.386322 -1.234788 12.531486 -0.587717 0.5771 0.6150 0.3842 nan nan
2459988 RF_ok 100.00% 0.00% 0.00% 0.00% - - 4.049808 -0.319994 -1.299635 -0.564183 -0.308367 -1.206783 12.967371 -0.809425 0.5832 0.6183 0.3749 nan nan
2459987 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.747243 -0.545981 -0.601196 -0.849628 7.905678 -0.923788 4.926265 -0.275366 0.5958 0.6206 0.3715 nan nan
2459986 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.804015 -0.411704 -0.965786 -0.722463 5.199690 -0.567108 2.299983 -1.173762 0.6116 0.6431 0.3421 nan nan
2459985 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.411537 -0.647110 -0.730614 -0.858111 6.635533 -1.333078 11.175069 -0.757285 0.5976 0.6224 0.3792 nan nan
2459984 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.770946 -0.524640 -0.076944 -0.842040 5.795831 -1.367137 1.329111 -1.083911 0.6209 0.6406 0.3558 nan nan
2459983 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.324964 -0.256988 -0.793273 -0.611509 10.083529 -0.378835 1.575583 -1.033804 0.6243 0.6569 0.3235 nan nan
2459982 RF_ok 0.00% 0.00% 0.00% 0.00% - - 1.269546 -0.059730 -1.123794 -0.982258 -0.322411 -1.011368 0.256326 -1.476034 0.6752 0.6847 0.2900 nan nan
2459981 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.326118 0.060050 -1.202228 -0.488358 0.998190 -0.695671 10.611462 -0.790135 0.5944 0.6233 0.3767 nan nan
2459980 RF_ok 0.00% 0.00% 0.00% 0.00% - - 0.613970 -0.208519 -1.340269 -0.939529 0.554763 -1.242295 -0.415075 -1.521831 0.6384 0.6578 0.3094 nan nan
2459979 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.140343 0.021048 -1.308958 -0.839548 -0.446981 -1.375444 5.131902 -0.954037 0.5834 0.6173 0.3793 nan nan
2459978 RF_ok 100.00% 0.00% 0.00% 0.00% - - 1.167470 0.040878 -1.259406 -0.682438 -0.296777 -1.037731 10.597783 -0.984611 0.5845 0.6159 0.3853 nan nan
2459977 RF_ok 100.00% 0.00% 0.00% 0.00% - - 0.705238 -0.132179 -1.246694 -0.851534 0.489971 -1.289203 6.431862 -0.917289 0.5521 0.5812 0.3437 nan nan
2459976 RF_ok 0.00% 0.00% 0.00% 0.00% - - 0.990904 0.022600 -1.379155 -0.777319 0.152761 -0.921903 2.310592 -0.911550 0.5925 0.6229 0.3760 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 221: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 10.860658 -0.423646 -0.446883 -1.410294 -0.875040 0.420031 -1.176018 10.860658 -0.933175

Antenna 221: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 12.343925 -0.229427 -0.447682 -0.684260 -1.043160 12.343925 -0.902694 6.739104 -0.668883

Antenna 221: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 6.660066 0.321638 -0.173798 -0.852160 -0.694948 0.519929 -1.791116 6.660066 -0.662869

Antenna 221: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 16.102202 0.452250 -0.776635 -0.831832 -1.043060 3.476172 -1.177241 16.102202 -0.608951

Antenna 221: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 1.891503 -0.256969 -0.090061 -1.124679 0.000622 -0.819953 1.891503 -1.501129 0.619104

Antenna 221: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 9.919862 1.458650 -0.338061 -1.366030 -1.018919 0.943582 -1.068974 9.919862 -0.450742

Antenna 221: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 221: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 3.056783 0.924281 -0.508856 -0.904010 -0.680822 0.465849 -1.046983 3.056783 -0.462108

Antenna 221: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 4.840723 0.885149 -0.551991 -0.683300 -0.673349 -0.396830 -1.335370 4.840723 -0.987933

Antenna 221: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 2.795338 0.550504 -0.598990 0.014650 -0.897333 2.795338 -1.339112 0.736615 -0.765957

Antenna 221: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 8.423932 1.420411 -0.662048 -0.590085 -0.909270 8.423932 -0.973242 5.440085 -0.808088

Antenna 221: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 8.822561 2.439419 -0.554449 -1.177042 -0.869833 1.352204 -0.791803 8.822561 -0.609752

Antenna 221: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 6.192744 2.781019 -0.532240 -0.804169 -0.649476 2.782063 -0.566860 6.192744 -0.810453

Antenna 221: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 6.579606 3.263604 -0.365384 -0.904091 -0.638841 4.746304 -0.786064 6.579606 -0.715323

Antenna 221: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 15.489465 -0.157002 3.289065 -0.506576 -1.217904 -0.776762 -0.007046 -0.556724 15.489465

Antenna 221: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 12.531486 -0.188756 3.363278 -0.499345 -0.928177 -1.234788 -0.386322 -0.587717 12.531486

Antenna 221: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 12.967371 -0.319994 4.049808 -0.564183 -1.299635 -1.206783 -0.308367 -0.809425 12.967371

Antenna 221: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 7.905678 0.747243 -0.545981 -0.601196 -0.849628 7.905678 -0.923788 4.926265 -0.275366

Antenna 221: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 5.199690 -0.411704 1.804015 -0.722463 -0.965786 -0.567108 5.199690 -1.173762 2.299983

Antenna 221: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 11.175069 -0.647110 1.411537 -0.858111 -0.730614 -1.333078 6.635533 -0.757285 11.175069

Antenna 221: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 5.795831 0.770946 -0.524640 -0.076944 -0.842040 5.795831 -1.367137 1.329111 -1.083911

Antenna 221: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Variability 10.083529 0.324964 -0.256988 -0.793273 -0.611509 10.083529 -0.378835 1.575583 -1.033804

Antenna 221: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Shape 1.269546 1.269546 -0.059730 -1.123794 -0.982258 -0.322411 -1.011368 0.256326 -1.476034

Antenna 221: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 10.611462 0.060050 1.326118 -0.488358 -1.202228 -0.695671 0.998190 -0.790135 10.611462

Antenna 221: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Shape 0.613970 -0.208519 0.613970 -0.939529 -1.340269 -1.242295 0.554763 -1.521831 -0.415075

Antenna 221: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 5.131902 1.140343 0.021048 -1.308958 -0.839548 -0.446981 -1.375444 5.131902 -0.954037

Antenna 221: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 10.597783 0.040878 1.167470 -0.682438 -1.259406 -1.037731 -0.296777 -0.984611 10.597783

Antenna 221: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 6.431862 0.705238 -0.132179 -1.246694 -0.851534 0.489971 -1.289203 6.431862 -0.917289

Antenna 221: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
221 N18 RF_ok ee Temporal Discontinuties 2.310592 0.022600 0.990904 -0.777319 -1.379155 -0.921903 0.152761 -0.911550 2.310592
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